2022 2ndInternational Conference on Computational Modeling, Simulation and Data Analysis (CMSDA 2022)
Call for papers
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2022 2nd International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA2022) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.


Topics of interest for submission include, but are not limited to:

Computational modeling and simulationData analysis and applications

Modeling tools and languages

Modeling and simulation methods

Vision and visualization technology

Perception issues in visualization and modeling

Mathematical and numerical methods in simulation and modeling

Simulation algorithm

High performance computing and simulation

Pervasive Computing and Simulation

Discrete and numerical simulation

Intelligent calculation and simulation

Parallel and distributed computing simulation

Real-time modeling and simulation

Chaotic system modeling

Analysis and control

Dynamic modeling and simulation

Web-based simulation

Simulation optimization

Emulator

Intelligent system modeling and simulation

Complex system modeling and simulation

Power system simulation

Environmental modeling and simulation

Computer games and simulation

Equipment simulation and modeling

Artificial Intelligence Simulation Technology

Robot system simulation

Medical simulation

Intelligent IoT system modeling and simulation

Virtual Technology and Application

Simulation computer and software

Digital twin

Industrial simulation modeling

Process engineering modeling

Simulation and control

Simulation and Modeling in Molecular Biology

Traffic engineering simulation

Aerospace system simulation

Information Engineering Simulation

Material engineering simulation

Physics-based modeling and simulation

Modeling and simulation technology and other applications, etc.

Data mining

Data Management and Database

Data analysis method

Intelligent data processing

Exploratory data analysis

Confirmatory data analysis

Qualitative data analysis

High frequency data analysis

Complex data analysis

Predictive analysis and simulation

Data analysis algorithms and systems

Data analysis process and improvement

Data analysis scenarios and model applications

Big data analysis and mining

Knowledge extraction, discovery, analysis and presentation

Big data machine learning

Big data platform, technology, model and method

Big data tools and systems

Big data visualization analysis

Public big data

Big data analysis and media

Big data analysis economics

Security and privacy of big data

Medical big data

E-commerce big data

Traffic big data

Industry applications of big data



Note: 

1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.